Publication in the Diário da República: Despacho n.º 4406/2017 - 22/05/2017
5 ECTS; 1º Ano, 1º Semestre, 30,0 TP , Cód. 92951.
Lecturer
- Ricardo Jorge Viegas Covas (1)(2)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
NA
Objectives
Equip the students with basic tools that will prepare them to undertake independent data analysis and discuss methods and results.
Program
I - Introduction; II - Statistical Inference; III - Regression and Correlation; IV - Multiple Linear Regression; V - Factor analysis in Principal Components; VI - Cluster analysis.
Evaluation Methodology
Continuous assessment - one of the following methods:
Method A: 2 tests. The final mark is the average of the two.
Method B: 1 test.
An average mark of 10/20 exempts students from taking the exam.
Bibliography
- Guimarães, R. e Sarsfields, J. (2005). Estatística. : McGraw Hill
- Hair, J. e Black, W. e Anderson, R. (2006). Multivariate Data Analysis. : Prentice Hall
- Maroco, J. e Bispo, R. (2005). Estatística Aplicada às Ciências Sociais e Humanas. : McGraw Hill
- Maroco, J. (2011). Análise Estatística com o SPSS Statistics. Lisboa: Report Number
Teaching Method
Theoretical-practical sessions. Conventional face-to-face lectures including a strong interaction between theory and practice. The theoretical component is mainly computer-based using the SPSS software.
Software used in class
